The app layer couldn’t get a better advertisement than a company spending $500M to build their own version of it. Obviously lots of nuance here that can’t be captured in the headline, but this should make you very bullish on software.
This should be issue number 1 for every political party in Spain. But it requires something every party lacks: thoughtfulness and pragmatism.
Instead, they hide their incompetence in plain sight by bringing forward a battery of significantly less important issues. The system is perverse because the more they can hide their incompetence, the longer they stay in power.
People will continue to have diminishing purchasing power, and politicians will deflect blame on others: immigration, foreign investors, corporations, etc.
Esta mañana he encontrado una nómina vieja de mi padre revisando papeles de casa.
Marzo de 1992, ingeniero jovencito con 6 años de experiencia. Casado, con dos hijos e hipoteca en Madrid.
Por curiosidad me he puesto a hacer cálculos, y me ha dado permiso para compartirlos.
El bruto del mes eran 615.704 pesetas. Ajustando a IPC, hoy serían 120.000 € brutos al año equivalentes. Un ingeniero con ese mismo perfil cobra ahora entre 35.000 y 45.000 €.
Un tercio. Un puto tercio del sueldo real que tenía mi padre con su edad.
Pero donde la trampa se ve más clara es en la fiscalidad.
Mi padre, sumando IRPF y Seguridad Social, soportaba una carga fiscal efectiva del 27% sobre su bruto (24% IRPF + 2,7% SS, porque cotizaba al tope máximo). Le quedaban netos el equivalente a 87.000 €.
Un ingeniero hoy con 40.000 € brutos soporta una carga total del 22% (16% IRPF + 6,5% SS) y le quedan apenas 31.000 € netos.
Mi padre vivía con casi tres veces más renta disponible.
En el mismo país. En la misma ciudad.
¿Que hoy se paga menos porcentaje? Lógico, ganando un tercio, claro que el porcentaje baja.
Por el camino, eso sí, se cargaron las deducciones que protegían a la clase media como por ejemplo la deducción por vivienda habitual que desapareció para nuevas compras en 2013.
Y si por algún milagro alcanzas hoy los 120k equivalentes que cobraba mi padre, soportarías un 35% de carga fiscal total en vez de su 27%.
Ocho puntos más por el mismo sueldo real.
¿De verdad vivimos mejor?
Los datos dicen una cosa. La narrativa que nos venden, otra.
@davidsenra@DavidBaszucki The gap between "exit" and "what's next" is one of the most disorienting stretches of a founder's life. Nobody talks about it. The identity crisis is real.
And apparently optional if you're Baszucki.
@TechCrunch Sold a company in 2016.
If I'd sold it in 2026 the entire negotiation would've been done by two AI agents arguing over a term sheet. The pace of value creation in dev tools right now is genuinely unprecedented.
@martinvars Again, that position is being lazy.
If residency cannot be managed to adapt to the nuances of the regions, next one could claim the education curriculum should also be simplified and only Spanish taught in the classes.
Slippery slope.
@SebJohnsonUK@ProjectEurope_@Kitty_Mayo_ 100%. Been building here for the last 3 years. The combination of quality of life, growing talent pool, and proximity to European capital is hard to beat. Still early but the momentum is real.
@amasad The wildest part is we're barely 18 months into the vibe coding era and already seeing $100M outcomes. The gap between 'can code' and 'can build a business' just collapsed. Distribution and taste are the only moats left.
This is happening faster than people realize. We're seeing it at @RemotelyWorksHQ : the best engineers are becoming 'intent translators' who review agent output rather than writing from scratch. The ones who can read code critically are 10x more valuable than the ones who can write it fast.
@ironcarbs@getopenwork I've learned this after years of enterprise SaaS building: in companies people buy outcomes, not tools.
B2B SaaS is not just about the tool, it's about the enablement, the org transformation, the behavior change.
AI adoption is no different.
@vasuman This is exactly the gap we're filling at Remotely. The McKinseys of the world will give you a 200-slide deck about AI transformation. We give you the engineers who actually build it. The dirty secret is that most "AI consulting" engagements end with a PDF, not production code.
@rauchg This is how founder transparency should look in a crisis. Most CEOs hide behind PR-approved statements weeks later. Guillermo posts the full timeline, names the attack vector, and ships 20 security improvements while people are still writing their "concerned" tweets. Respect.
@BenjaminDEKR Because talent is the moat, not the product. Cursor's 50 people built something that actually works, most AI coding tools don't. AGI doesn't mean "build anything instantly." The hardest part is taste and product sense, not raw model capability. Acqui-hiring on steroids.
@codewithimanshu The unlock isn't "AI writes code." It's that senior people with taste can now ship at junior-team velocity. The bottleneck moved from implementation to judgment.
I run a staffing company (Latam senior devs ↔ US companies) and can confirm: the first wave of AI cuts hit support/IT outsourcing, not product engineering. Senior devs who use AI well are in MORE demand. The commodity layer is evaporating but the skilled layer is consolidating. Two very different stories.
Seeing this every day. I run a staffing company placing senior devs, and the gap between teams using AI-tier tools vs free ChatGPT is becoming a hiring signal. The best engineers I work with aren't threatened by AI, they're 3x more productive with it. The ones who tried it once last year and dismissed it are falling behind fast.
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